title: Short communication: use of culling information in genetic evaluation of fertility and mastitis in Norwegian red cows.
abstract: Breeding values for clinical mastitis, interval from calving to first insemination, and 56-d nonreturn rate for heifers and primiparous cows, were predicted using multivariate linear-threshold sire models, with or without including information on culling during the first lactation. Breeding values for 3,064 sires were predicted using 3 data sets with an average of 273, 135, and 68 first-crop daughters per sire, respectively. For each data set, accuracies of selection for health and fertility traits were evaluated through the predictive ability of predicted sire breeding values with respect to phenotypic performance of second-crop daughters. The predictive ability of estimated breeding values for clinical mastitis and interval from calving to first insemination did not improve when including information on early culling, irrespective of the size of first-crop daughter groups. For 56-d nonreturn rates (heifer and primiparous cow), sire evaluations based on reduced size of daughter groups tended to predict performance of the future daughters slightly better when including data on early culling. Hence, for breeding programs with direct selection for health and fertility traits there is little to gain by including early culling as additional information.
authors.affiliation: Department of Animal and Aquacultural Sciences, Norwegian University of Life Sciences, PO Box 5003, N-1432 As, Norway. marte.holtsmark@umb.no
authors.forename: M
authors.initials: M
authors.lastname: Holtsmark
authors.forename: B
authors.initials: B
authors.lastname: Heringstad
authors.forename: P
authors.initials: P
authors.lastname: Madsen
authors.forename: J
authors.initials: J
authors.lastname: Odegård
mesh_terms: D000818:Animals; D002417:Cattle / Q000235:genetics*; D003612:Dairying; D005260:Female; D005298:Fertility / Q000235:genetics*; D016015:Logistic Models; D008297:Male; D008414:Mastitis, Bovine / Q000235:genetics*